Social Data Analysis of Brazilian’s Mood from Twitter
David Nadler Prata, Kleber P. Soares, Michel A. Silva, Daniela Mascarenhas de Queiroz Trevisan, Patrick Letouzé · International Journal of Social Science and Humanity · 2015
In this work, a software application was developed to analyze and visualize messages over Twitter social network, ranking the posts relatively to variations in moods within the Brazilian territory.Artificial intelligence techniques such as text mining and sentiment analysis were used for this purpose.The use of methods of machine learning allows determining the polarity (positive or negative) of tweets collected.Results were displayed in cartograms, through representations of tweet's geographic locations.Surprisingly, another study of twitter's mood from United States Nation showed similar results for the variation of moods throughout the day, hypothesizing a humor pattern for human beings during the period of 24 hours.